#MAPPING YOUR FUTURE STANDARD CALCULATOR HOW TO#
#MAPPING YOUR FUTURE STANDARD CALCULATOR MANUAL#

Data mapping is required to migrate data, ingest, and process data and manage data. To take control of their internal and external data and find a solution that can organize, structure, and create a unified central data location.ĭata mapping is the process of matching fields from multiple datasets into a schema, or centralized database. That’s where companies are increasingly looking at data mapping. Data comes in many different forms and types, and it can be extremely complicated to ensure that data is structured universally.

The amount of data sources that the average company is using is rapidly increasing. With siloed data in many places, linking and managing this data into a manageable centralized database is a priority for many businesses. The average company is now dealing with large amounts of complicated data systems. Tying it all together – best in class data mapping. Data mapping from different angles – sources and segmentsġ0. The people angle to data mapping – access and ownershipĨ. Linking your internal data mapping to external communication.ħ. How vendor changes impact your data mapping.Ħ. How real-time data mapping feedback improves compliance.ĥ. The benefits of data mapping bridging data silos.Ĥ. This section is coming soon, check back next week for updates.ģ. The following sections will cover some of the insights and applications you can build on top of your data map. You can trust that all data in each data lake has been indexed and scanned, and the structured format of the data map allows you to build upon it. This approach ensures the highest quality of data understanding.

Segment identification to allow separation between customers, employees etc.Data scanning to understand the data types, data source overlap and more.Overview of all the data sources and datasets within.The Wult data mapping feature takes a bottom-up approach starting with the actual data in the data silos.Ī silo can be anything that holds data and support unstructured data (think Google Drive, Dropbox etc.), API integration of structured data down to more infrastructure-heavy systems like databases.īy using native integrations into each data source, our platform creates automated data mapping consisting of: Creating data mapping from the actual data But worst, it is not guaranteed to be correct. It is time-consuming and quickly out of date. First, the end result is not easily searchable or easy to query. The result is a number of word documents or excel sheets containing an overview of the processed data.

#MAPPING YOUR FUTURE STANDARD CALCULATOR MANUAL#

One cause of the most common problems we encounter when speaking with DPOs about data mapping is the manual nature of the process.Ī typical data mapping process is a yearly event where the data compliance team interviews departments, send surveys and go through data samples.

#MAPPING YOUR FUTURE STANDARD CALCULATOR HOW TO#

How to let automation drive your data mapping process.

Tying it all together – best in class data mapping.ġ.

Mapping your future standard calculator